Learning States Representations in POMDP. - Gabriella Contardo; Ludovic Denoyer; Thierry Artières; Patrick Gallinari (ICLR (Workshop Poster), 2014)

Car-Traffic Forecasting: A Representation Learning Approach. - Ali Ziat; Gabriella Contardo; Nicolas Baskiotis; Ludovic Denoyer (MUD@ICML, 2015)

Representation Learning for cold-start recommendation. - Gabriella Contardo; Ludovic Denoyer; Thierry Artières (ICLR (Workshop), 2015)

Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series. - Ali Ziat; Gabriella Contardo; Nicolas Baskiotis; Ludovic Denoyer (ESANN, 2016)

Recurrent Neural Networks for Adaptive Feature Acquisition. - Gabriella Contardo; Ludovic Denoyer; Thierry Artières (ICONIP (3), 2016)

Sequential Cost-Sensitive Feature Acquisition. - Gabriella Contardo; Ludovic Denoyer; Thierry Artières (IDA, 2016)

A Meta-Learning Approach to One-Step Active-Learning. - Gabriella Contardo; Ludovic Denoyer; Thierry Artières (AutoML@PKDD/ECML, 2017)

Machine learning under budget constraints. (Apprentissage statistique sous contraintes de budget). - Gabriella Contardo (2017)

From Dark Matter to Galaxies with Convolutional Networks. - Xinyue Zhang; Yanfang Wang; Wei Zhang; Yueqiu Sun; Siyu He; Gabriella Contardo; Francisco Villaescusa-Navarro; Shirley Ho (CoRR, 2019)

From Dark Matter to Galaxies with Convolutional Neural Networks. - Jacky H. T. Yip; Xinyue Zhang; Yanfang Wang; Wei Zhang; Yueqiu Sun; Gabriella Contardo; Francisco Villaescusa-Navarro; Siyu He; Shy Genel; Shirley Ho (CoRR, 2019)

Dalek - a deep-learning emulator for TARDIS. - Wolfgang E. Kerzendorf; Christian Vogl; Johannes Buchner; Gabriella Contardo; Marc Williamson; Patrick van der Smagt (CoRR, 2020)

Meta-Learning One-Class Classification with DeepSets: Application in the Milky Way. - Ademola Oladosu; Tony Xu; Philip Ekfeldt; Brian A. Kelly; Miles D. Cranmer; Shirley Ho; Adrian M. Price-Whelan; Gabriella Contardo (CoRR, 2020)

Anomaly Detection for Multivariate Time Series of Exotic Supernovae. - V. Ashley Villar; Miles D. Cranmer; Gabriella Contardo; Shirley Ho; Joshua Yao-Yu Lin (CoRR, 2020)

A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients. - V. Ashley Villar; Miles D. Cranmer; Edo Berger; Gabriella Contardo; Shirley Ho; Griffin Hosseinzadeh; Joshua Yao-Yu Lin (CoRR, 2021)

The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence. - Francisco Villaescusa-Navarro; Shy Genel; Daniel Angles-Alcazar; Leander Thiele; Romeel Dave; Desika Narayanan; Andrina Nicola; Yin Li 009; Pablo Villanueva-Domingo; Benjamin D. Wandelt; David N. Spergel; Rachel S. Somerville; et al. (CoRR, 2021)

Cosmology with Persistent Homology: Parameter Inference via Machine Learning. - Juan X. E. A. Calles; Jacky H. T. Yip; Gabriella Contardo; Jorge Noreña; Adam Rouhiainen; Gary Shiu (CoRR, 2024)

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics. - Sebastian Springer; Andre Scaffidi; Maximilian Autenrieth; Gabriella Contardo; Alessandro Laio; Roberto Trotta; Heikki Haario (CoRR, 2025)

Rotary Masked Autoencoders are Versatile Learners. - Uros Zivanovic; Serafina Di Gioia; Andre Scaffidi; Martín de los Rios; Gabriella Contardo; Roberto Trotta (CoRR, 2025)